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Pseudo-color Coding from Digital Phase-modulated Image

Author: SunWenJie
Tutor: WeiZhen
School: Tianjin University of Technology
Course: Optical Engineering
Keywords: Image Enhancement Pseudo-color processing Phase modulation Quality assessment Linux
CLC: TB481
Type: Master's thesis
Year: 2007
Downloads: 264
Quote: 3
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Abstract

Human understanding of the universe mainly rely on the visual. Rely photographs obtained by the image pickup device approximate simulation of the target scene in a certain space within the projection on a plane, and reflects the interaction of the object with visible light wave visual effect on the human eye in the form of a recording medium. The classification of the different perception of the image illustrates the complexity of the image information, modern rapid development of computer image processing technology makes it easier for the reproduction of natural scenery, more flexible. Using digital image processing technology can produce a variety of visual effect. For black and white images, often refers to the binary image and grayscale images. Most of the gray-scale image is 8 bit depth, 256 gray levels, the human eye this there is a higher resolution, but for some special areas higher grayscale dedicated grayscale image, especially in image pixel gray degrees or less the case, the human eye to distinguish the ability to greatly diminished, far less color image. From the point of view of the human visual system, the human eye distinguish rate far higher than the grayscale difference of color differences. Therefore, it is necessary to put some of the gray scale image is converted into a color image, while allowing the color of the color image corresponding to different shades of gray, as long as the gradation difference, color difference, in such a gray-scale image information amount will be greatly improved. Broadly speaking, non-image data is a color or monochrome image processing are pseudo-color processing, a color image via the image obtained after the color transformation is pseudo-color image. The problem for the pseudo digital image color processing, starting from the white light density the pseudo color coding experiments to explore the phase modulation digital image pseudo-color coding theory. Firstly, layer by layer elaborated related to the pseudo-color image processing technology. The second chapter describes the pseudo-color processing, image understanding and color foundation. Chapter in a brief description of the general composition of the pseudo-color image processing system, introduces several common pseudo-color processing method, and given the Matlab simulation code and pseudo-color renderings, followed by a phase modulation density pseudo-color coding The mathematical modeling analysis, to find a suitable computer program of phase pseudo-color processing operators, the final analysis of medical ultrasound and infrared imaging are two typical pseudo-color processing system. Chapter IV studies the specific implementation of the Windows platform using Matlab and VC / C phase modulation digital image pseudo-color coding, and comparative analysis of the various pseudo-color processing operators on this basis. As a pseudo-color processing functions similar to the phase modulation of the Linux platform under image processing software Gimp which Alienmap and Alienmap2 filtering plug-in. Statements from both subjective and objective point of view for the fifth chapter, a number of image quality assessment program, declare that the uncertainty of the pseudo-color image quality evaluation criteria, and the evaluation program Matlab implementation code final argument to the form of a chart of this article referred to the pseudo-color processing programs and the superiority of the operator. Innovation This article focused on the following two points: 1 by analysis of white-density pseudo-color coding experiments to find the mathematical model suitable for digital image pseudo-color processing program, and proposed a phase modulated digital image pseudo-color coding scheme. By comparing the phase of the superiority of the pseudo-color processing operators, the operator and the program can be widely applied to other areas of signal enhancement. For 24 high gray scale resolution grayscale image processing, developed a set of phase modulation digital image pseudo-color real-time processing system for image recognition and analysis.

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